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Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Ashraf, Mohammad A.; Osman, Abu Zafar Rashed; Ratan, Sarker Rafij Ahmed – Quality Assurance in Education: An International Perspective, 2016
Purpose: The purpose of the present study is to identify the determinants that potentially influence quality education in private universities in Bangladesh. Design/methodology/approach: To attain this objective, 234 data were collected through face-to-face interviews on campus during February-March 2013 from Bachelor of Business Administration…
Descriptors: Foreign Countries, Educational Quality, Private Colleges, College Students

Lee, Sik-Yum – Psychometrika, 1980
This paper demonstrates the feasibility of using the penalty function method to estimate parameters that are subject to a set of functional constraints in covariance structure analysis. Both types of inequality and equality constraints are studied. The approaches of maximum likelihood and generalized least squares estimation are considered.…
Descriptors: Analysis of Covariance, Data Analysis, Factor Analysis, Hypothesis Testing

Bentler, P. M.; Weeks, David G. – Psychometrika, 1980
A statistical model for relating latent variables from manifest variables, called a linear structural equation model, is presented. The approach is illustrated by a test theory model and longitudianl study of intelligence. (Author/JKS)
Descriptors: Analysis of Covariance, Data Analysis, Error of Measurement, Factor Analysis